Inverse Estimation of Temperature Profiles in Landfills Using Heat Recovery Fluids Measurements by C. Solisio, A. P. Reverberi, A. Del Borghi, V. G. Dovi'

“…In this paper, we describe an algorithm for regularising the resulting ill-posed free boundary estimation problem using sampled data of the heat recovery fluid on exiting the landfill.…”
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Virtual Screening and Meta-Analysis Approach Identifies Factors for Inversion Stimulation (Fis) and Other Genes Responsible for Biofilm Production in <i>Pseudomonas aeruginosa</i>:... by Promise M. Emeka, Lorina I. Badger-Emeka, Krishnaraj Thirugnanasambantham

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Domain Identification for Inverse Problem via Conformal Mapping and Fixed Point Methods in Two Dimensions by Fagueye Ndiaye

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Application of the magnetotelluric method in geothermal exploration in Jianshi county, Hubei province, China by Peng Simeng, Xie Xingbing, Zhang Lianqun, Rao Song, Zhou Lei, Lu Chuyang, Li Yuxi

“…After a detailed analysis of the dimensional characteristics and electrical axes, a 2D electrical structure model from the surface to a depth of 9 km was obtained via topography-based 2D inversion. …”
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Study on the Spatio-Temporal Changes of Precipitation in Loess Plateau from 1959 to 2018 by Yupeng LIU, Jinlong CHAO, Yamin LU, Yaxin WANG, Yuting BI

“…Precipitation plays a critical role in the Earth's hydrological and energy cycles， significantly influencing the biogeochemical cycles and energy exchanges on the land surface.In the ecologically fragile region of the Loess Plateau， the spatial and temporal variability of precipitation has profound implications for both the ecological environment and socioeconomic development.Therefore， study on the spatial and temporal variations of precipitation in the Loess Plateau holds substantial theoretical and practical significance.This study utilizes daily precipitation data from 115 meteorological stations across the Loess Plateau and its surrounding areas， covering the period from 1959 to 2018.By employing methods such as Inverse Distance Weighting （IDW） interpolation and wavelet analysis， the study provides a comprehensive analysis of the spatial and temporal characteristics of precipitation over the past 60 years in the Loess Plateau.The results showed that： （1） The spatial distribution of precipitation in the Loess Plateau exhibits a clear "stepped" pattern， gradually decreasing from southeast to northwest.This distribution highlights a significant gradient where the southeastern regions receive more precipitation than the northwestern regions， with a similar trend of more rainfall in the south compared to the north.Furthermore， localized topography plays a crucial role in modulating precipitation， with higher elevations generally receiving more rainfall.（2） Under the influence of changes in the East Asian monsoon and atmospheric circulation patterns， the spatial distribution of precipitation from 1989 to 2018 differs significantly from that of 1959 to 1988.Specifically， the 200mm and 400mm isohyets have shifted northward， with a notable decrease in precipitation in the southeastern monsoon-dominated areas， while precipitation has increased in the non-monsoon northwestern areas.The monsoon marginal zone of the Loess Plateau is particularly sensitive to monsoon variability.The continuous weakening of the East Asian summer monsoon has diminished the capacity for moisture transport， further exacerbated by El Niño-Southern Oscillation （ENSO） warm events， both of which have contributed to reduced precipitation in the southeast.Conversely， changes in atmospheric circulation have led to increased precipitation in the northwest， resulting in a slight expansion of the semi-humid regions in the area.（3） Over the study period， precipitation in the Loess Plateau exhibits a fluctuating upward trend， indicative of a general tendency towards increased wetness in the region.This suggests a long-term shift towards more humid conditions， which could have significant implications for the region's ecological restoration and water resource management.（4） The interannual variability of precipitation in the Loess Plateau is characterized by oscillations on multiple time scales， specifically at 5-year， 7-year， 11-year， and 43~45-year intervals， with the 5-year cycle identified as the dominant periodicity.…”
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An inverse probability weighting method for estimating the net benefit in survival analyses in observational studies by Yasutaka Chiba

“…Background: Recently, in the context of randomized trials, a measure on the difference scale called the net benefit was developed for survival analysis. As this measure does not require the assumption of proportional hazards, it is an attractive new measure of the treatment effect to apply instead of the hazard ratio calculated under this assumption. …”
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Back analysis of geomechanical parameters based on a data augmentation algorithm and machine learning technique by Hui Li, Weizhong Chen, Xianjun Tan

“…We introduce a multi-faceted back analysis approach that combines data augmentation with advanced optimization and machine learning techniques. …”
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Stress Estimation in Viscous Flows Using an Iterative Tikhonov Regularized Stokes Inverse Model by Yuanhao Gao, Yang Wang, Jizhou Zhang

“…The solution existence and uniqueness for the Stokes inverse problem have been analyzed. We also conducted convergence analysis and error estimation for perturbed data, providing a fast and stable convergence. …”
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The role of meteorology factors on urban pollutants (Case study: data analysis of Tabriz city 2012-2022) by Fahimeh Banasaleh, Mohammad Ebrahim Ramazani, Ziba Beheshti

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Socioeconomic disparities in HPV vaccine uptake: multivariable analysis of vaccination data from Tianjin (2018–2023) by Jing Xiang, Xuan Sun

“…ObjectivesAs the first socio-demographic profiling of HPV vaccines in Chinese cities, this study assesses equity implications through compositional analysis of covered populations, with multilevel examination of vaccine-type selection determinants.MethodUtilizing HPV vaccination data obtained from the Jinnan Center for Disease Control and Prevention (CDC) spanning from 2018 to 2023, we conducted a retrospective analysis. …”
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Modeling urban land density with Gaussian and inverse S functions by analyzing urban expansion in Zhengzhou City by Hongfei Gao, Xuning Qiao, Yongju Yang, Liang Liu, Jinyuan Zhang, Huimin Zhou, Qianxi Zheng

“…This paper addresses this gap by analyzing land use data from 2000 to 2020 in Zhengzhou City, using two models: the Gaussian function and the inverse S function. …”
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Inversion Study of Hydrogeological Parameters for Metro Foundation Pit Confined Aquifiers Based on Surrogate Modeling by YE Ru, DI Honggui, ZHU Zhitai, ZHU Yilong, JIANG Bin, XIANG Longsheng, CHAI Dongsheng, YAO Qiyu

“…Combined with a particle swarm optimization algorithm and based on field-measured data, an inverse analysis of the confined aquifer permeability and storage coefficients is conducted. …”
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Inversion Method Based on Temporal Convolutional Networks for Random Ice Load on Conical Offshore Platforms by Wei Li, Ya Guo, Shuzhao Li, Yang Gao, Yan Qu

“…A random ice load model is first developed, and its dynamic characteristics are validated through finite element analysis. …”
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ESTIMATING EARTHQUAKE MAGNITUDE USING SPATIAL INTERPOLATION WITH THE INVERSE DISTANCE WEIGHTING AND ORDINARY KRIGING APPROACH by Fitri Amalia, Achmad Fauzan

“…The research sample included data on earthquake magnitude in West Java within the same coordinate range, from 01 January 2022 to 31 December 2022. …”
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Inversion of In-situ Stress Field of Large Underground Cavern Group in Complex Geology Methods and Applications by Shufeng PEI, Dongsheng ZANG, Changxin SUN, Jianhua HE, Guoliang LI, Bingrui CHEN

“…Accurate prediction of the in-situ stress field in underground caverns is crucial for engineering construction. The inversion of the in-situ stress field based on measured data is the primary method for predicting this field. …”
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Estimation and trend analysis of grassland aboveground biomass on the Qinghai-Xizang Plateau based on machine learning by Ruoqi Zhang, Qisheng Feng, Yonghui Zhang, Jingjing Mai, Tiangang Liang

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Radiation attenuation effectiveness of the inverse freezing fluid - a new shielding material for gamma radiation by Reshma Karunakaran, Rajagopal Shanmugasundaram

“…From the data reported and analysis in this manuscript, it is evident that different liquids mixtures, especially, IFF’s can be used for gamma radiation shielding with varying temperature. …”
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Optimizing Chlorophyll-a Concentration Inversion in Coastal Waters Using SVD and Deep Learning Approach by Lili Zhan, Yongxin Xu, Jinshan Zhu, Zhangshuo Liu

“…This study demonstrates that the developed and validated SVD-DNN model has excellent robustness and generalization ability and can be used in combination with Landsat data for long-term retrieval of Chl-a across different time series.…”
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The Relationship between Wisdom and Jealousy Mediated by Self - Esteem : A Path Analysis by Emad Rahimi, Hamid Rafiei-Honar, Mahdi Kheirollahi

“…Micro-growth scale (Brown and Green, 2009), self-esteem scale (Rosenberg, 1965) and jealousy questionnaire (Valizadeh and Azarbayjani, 2010) were used to collect data. The results of statistical analysis showed that jealousy has a significant inverse relation with wisdom (-0.470) and self-esteem (-0.415) (p <0.001). among the relations between jealousy and components of wisdom, the highest correlation coefficient respectively belongs to altruism (0.451) and emotional management (0.450). …”
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IoT-Based Airport Noise Perception and Monitoring: Multi-Source Data Fusion, Spatial Distribution Modeling, and Analysis by Jie Liu, Shiman Sun, Ke Tang, Xinyu Fan, Jihong Lv, Yinxiang Fu, Xinpu Feng, Liang Zeng

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